Volume 5, Issue 20 (Fall 2017)
IUESA 2017, 5(20): 39-51 |
Back to browse issues page
Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:
Moghimi M, Taghizadeh Yazdi M. Applying Multi-Criteria Decision-Making (MCDM) Methods for Economic Ranking of Tehran-22 Districts to Establish Financial and Commercial Centers (Case: City of Tehran). IUESA 2017; 5 (20) :39-51
URL: http://iueam.ir/article-1-767-en.html
URL: http://iueam.ir/article-1-767-en.html
1- Operational Research, Faculty of Management, University of Tehran, Tehran, Iran
2- Faculty of Management, University of Tehran, Tehran, Iran , massoumemoghimi@ut.ac.ir
2- Faculty of Management, University of Tehran, Tehran, Iran , massoumemoghimi@ut.ac.ir
Abstract: (5490 Views)
One of the most important effective factors on more profit and success in financial and commercial activities is the place and geographical location of establishing that activity In order to achieve this important issue, we require exact locational information needing much cost and time. Thus, economic ranking of urban areas can make economic status of urban areas clear for managers. This research aims to identify economically talented areas leading to exact locating of commercial and financial centers based on their priority. This research is descriptive-analytical. Data were collected by documentary method. Statistical population includes Tehran’s 22 districts ranked based on 9 indicators. Therefore, at first, the weight of effective indicators was extracted by using Entropy method. Then, Tehran’s 22 districts were ranked economically by using four techniques of MCDM including SAW, TOPSIS, VIKOR, and LINEAR ASSIGMENT. Given the results of implementing above-mentioned methods were not compatible with each other, in order to reach a consensus for ranking the districts, integration techniques (Poset) that includes average rating method, Borda and Copeland were used. Finally, districts 6 and 3 were identified as the most economical ones.
Keywords: Urban Economy, Financial and Commercial Centers, Ranking, Multi-Criteria Decision-Making (MCDM), Integration Techniques
Type of Study: Research |
Subject:
Special
Received: 2016/02/1 | Accepted: 2016/04/13 | Published: 2017/10/30 | ePublished: 2017/10/30
Received: 2016/02/1 | Accepted: 2016/04/13 | Published: 2017/10/30 | ePublished: 2017/10/30
Send email to the article author
| Rights and permissions | |
 |
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License. |
